An examination of latent constructs of dynamic sexual violence risk and need as a function of indigenous and nonindigenous ancestry.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
= 670) groups, corresponding broadly to the domains of sexual deviance, criminality, and treatment responsivity. Associations examined between pre- and posttreatment rated factor scores and sexual and violent recidivism were moderated less by Indigenous ancestry and more by victim profile. Specifically, sexual deviance scores were significantly associated with 5- and 10-year sexual recidivism outcomes among both ancestral groups, but only among men with exclusively child victims. Further, criminality was predictive of all outcomes, particularly violent recidivism, irrespective of ancestry or victim type. Treatment responsivity was significantly predictive of sexual and violent recidivism, but only among men who had an adult victim. Change scores on all 3 factors, while controlling for pretreatment score, were significantly associated with decreased sexual and violent recidivism across ancestry and victim groups. Results underscore a common structure to sexual violence risk that emerges from the VRS-SO for Indigenous and non-Indigenous men and that risk and change scores from the three factor domains have comparable predictive properties across these broad ancestral groups. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it